🚀 What’s New
You can now create agents using standard foundational models — no fine-tuning required.
Previously, Navigable AI supported only fine-tuned models (optionally enhanced with RAG grounding). With this release, teams can choose from three flexible training modes when creating an AI assistant:
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Fine-Tuned Agents – deeply customized and trained for your product.
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RAG Agents – retrieval-augmented for real-time, grounded responses.
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Simple (Foundational) Agents – quick setup using base models with custom prompts.
This update gives you the freedom to start fast, scale intelligently, and fine-tune when ready, making it easier to match your AI’s complexity with your use case.
👉 Learn more about the available training modes here:
Training Overview Documentation
💰 Cost Estimator Tool
We’ve added a new Cost Estimator to help you plan your AI strategy effectively.
Quickly compare pricing across training modes — Fine-Tuned, RAG, and Foundational — to choose the right balance between performance and budget.
👉 Try the pricing estimator: https://www.navigable.ai/pricing/
💡 Why It Matters
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Faster onboarding: Launch assistants in minutes without needing training data.
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Cost-efficient experimentation: Test conversational flows and prompts before committing to fine-tuning.
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Scalable architecture: Move seamlessly from foundational to fine-tuned or RAG-enhanced setups as your needs evolve.
🛠 Improvements & Fixes
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Streamlined agent creation interface with clearer setup steps.
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Improved backend support for hybrid (Fine-tuned + RAG) configurations.
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Minor performance optimizations and bug fixes across the dashboard.
✨ Try It Out
Head to your Navigable AI dashboard and create your next assistant with a foundational model — it’s the fastest way to get started.
We’d love your feedback as we continue expanding how teams train and deploy AI on Navigable.
